LTV:CAC Cheat Sheet · AppFillip 2026
LTV:CAC
Benchmarks
The Ratio That Tells You If Your App Is a Real Business — By Category 2026
LTV:CAC below 1x means you are losing money on every user. Above 3x you are ready to scale aggressively. This cheat sheet shows exactly where your category benchmark sits — and what to do at every ratio.
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3x
minimum LTV:CAC to scale paid UA confidently
4.4x
avg LTV:CAC across AppFillip client portfolio
24
app categories with benchmark data
500+
apps analysed to build this benchmark set
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What LTV:CAC Means
UnderstandingLTV:CAC Ratio LTV (Lifetime Value) divided by CAC (Customer Acquisition Cost). The single most important unit economic ratio in mobile app growth.
Below 1x
Losing Money
You spend more acquiring each user than they ever return. Do not scale UA. Fix retention and monetisation first.
1x – 3x
Marginal — Fix First
Breaking even or thin margins. Cautious UA only. Focus on improving LTV through retention, paywall, and engagement.
3x+
Scale Aggressively
Healthy unit economics. Every $1 spent on UA returns $3+. This is the threshold to begin scaling paid spend confidently.
Top 10% LTV:CAC
Industry Average
Bottom 25%
Higher ratio = better business model
🏋️
Health & Fitness
Decision threshold
Scale at 3x+
💳
Fintech
Decision threshold
Scale at 4x+
🎓
Education
Decision threshold
Scale at 3x+
🎮
Casual Gaming
Decision threshold
Fix below 2x
🛍️
Shopping
Decision threshold
Scale at 3x+
🍔
Food Delivery
Decision threshold
Scale at 3x+
✈️
Travel
Decision threshold
Scale at 4x+
💬
Social
Decision threshold
Fix below 2x
📊
Productivity
Decision threshold
Scale at 3x+
🎬
Entertainment
Decision threshold
Fix below 2x
💘
Dating
Decision threshold
Scale at 3x+
🌿
Lifestyle
Decision threshold
Fix below 2x
🧒
Kids
Decision threshold
Scale at 3x+
🏆
Sports
Decision threshold
Scale at 3x+
🏠
Real Estate
Decision threshold
Scale at 4x+
🎵
Music
Decision threshold
Fix below 2x
💼
Business / B2B
Decision threshold
Scale at 5x+
📰
News & Media
Decision threshold
Fix below 2x
🏥
Medical
Decision threshold
Scale at 5x+
₿
Crypto / Web3
Decision threshold
Scale at 3x+
🔭
AR / Spatial
Decision threshold
Scale at 3x+
🐾
Pet
Decision threshold
Scale at 3x+
📱
Utilities
Decision threshold
Fix below 2x
🗓️
Subscription / SaaS
Decision threshold
Scale at 4x+
Unit Economics Audit Checklist
Improve YourLTV:CAC Ratio Tick every item you have in place. Each unchecked item is a specific lever that will improve your ratio. Fixing the LTV side (retention + monetisation) is almost always faster than reducing CAC.
📈 LTV Improvement
✓
Day-30 retention benchmarked against category — below benchmark means fixing retention before scaling✓
Paywall placement tested at emotional trigger moments — not just on a calendar timer✓
Annual subscription offered and promoted — annual plans typically increase LTV by 40–60%✓
In-app purchase or upsell events tracked and optimised separately from subscription CVR✓
Churned user reactivation campaigns running — win-back is the lowest CAC acquisition possible✓
LTV calculated at 12-month horizon, not just 30-day — most apps dramatically underestimate real LTV💰 CAC Reduction
✓
Organic install share tracked — strong ASO reduces blended CAC by 30–60% for most apps✓
Referral programme in place — user-referred installs typically have 3–5x higher LTV than paid✓
UA budget concentrated on lowest-CAC channel, not spread equally across all channels✓
Lookalike audiences built from highest-LTV users, not all installs — quality signal matters more than volume✓
Content marketing or community strategy driving unpaid installs — at scale this dominates paid economics✓
CAC measured at cohort level by channel — blended CAC hides which channels are destroying economics🔄 Retention Levers
✓
Onboarding redesigned around core value delivery — users must experience the key feature before Day 1 ends✓
Push notification strategy tested — personalised, behaviour-triggered pushes vs broadcast schedules✓
Habit loop engineered into core product flow — trigger, action, reward cycle is intentionally designed✓
Streak or progress mechanics implemented where relevant — these are the single most powerful retention tools✓
Day-7 retention monitored weekly and A/B tests running on onboarding to improve it continuously✓
Cancellation flow optimised with a pause or discount offer before full cancellation is processed📊 Measurement
✓
LTV:CAC calculated separately per UA channel — not as a blended average across all channels✓
LTV:CAC calculated separately per user cohort (month of acquisition) to track trend direction✓
Payback period calculated — how many months until CAC is recovered from subscription revenue✓
MRR and churn rate tracked weekly — these are the leading indicators of LTV direction before cohort data matures✓
Predicted LTV model in place — using early engagement signals to forecast LTV before 12 months of data exists✓
LTV:CAC reviewed monthly with the team — it is the north star metric that all growth decisions should reference